Eye-tracktive: Measuring Attention to Body Parts when Judging Human Motions
| dc.contributor.author | Ennis, Cathy | en_US |
| dc.contributor.author | Hoyet, Ludovic | en_US |
| dc.contributor.author | O'Sullivan, Carol | en_US |
| dc.contributor.editor | B. Bickel and T. Ritschel | en_US |
| dc.date.accessioned | 2015-04-15T08:32:30Z | |
| dc.date.available | 2015-04-15T08:32:30Z | |
| dc.date.issued | 2015 | en_US |
| dc.description.abstract | Virtual humans are often endowed with human-like characteristics to make them more appealing and engaging. Motion capture is a reliable way to represent natural motion on such characters, thereby allowing a wide range of animations to be automatically created and replicated. However, interpersonal differences in actors' performances can be subtle and complex, yet have a strong effect on the human observer. Such effects can be very difficult to express quantitatively or indeed even qualitatively. We investigate two subjective human motion characteristics: attractiveness and distinctiveness. We conduct a perceptual experiment, where participants' eye movements are tracked while they rate the motions of a range of actors. We found that participants fixate mostly on the torso, regardless of gait and actor sex, and very little on the limbs. However, they self-reported that they used hands, elbows and feet in their judgments, indicating a holistic approach to the problem. | en_US |
| dc.description.sectionheaders | Capture and Physics | en_US |
| dc.description.seriesinformation | EG 2015 - Short Papers | en_US |
| dc.identifier.doi | 10.2312/egsh.20151009 | en_US |
| dc.identifier.pages | 37-40 | en_US |
| dc.identifier.uri | https://doi.org/10.2312/egsh.20151009 | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | I.3.7 [Computer Graphics] | en_US |
| dc.subject | Three Dimensional Graphics and Realism | en_US |
| dc.subject | Animation | en_US |
| dc.title | Eye-tracktive: Measuring Attention to Body Parts when Judging Human Motions | en_US |